Prediction of single-cell gene expression for transcription factor analysis

BACKGROUND: Single-cell RNA sequencing is a powerful technology to discover new cell types and study biological processes in complex biological samples. A current challenge is to predict transcription factor (TF) regulation from single-cell RNA data. RESULTS: Here, we propose a novel approach for pr...

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Détails bibliographiques
Publié dans:Gigascience
Auteurs principaux: Behjati Ardakani, Fatemeh, Kattler, Kathrin, Heinen, Tobias, Schmidt, Florian, Feuerborn, David, Gasparoni, Gilles, Lepikhov, Konstantin, Nell, Patrick, Hengstler, Jan, Walter, Jörn, Schulz, Marcel H
Format: Artigo
Langue:Inglês
Publié: Oxford University Press 2020
Sujets:
Research
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7596801/
https://ncbi.nlm.nih.gov/pubmed/33124660
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giaa113
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